Stuttering, affecting approximately 1% of the global population, is a complex speech disorder significantly impacting individuals’ quality of life. Prior studies using electromyography (EMG) to examine orofacial muscle activity in stuttering have presented mixed results, highlighting the variability in neuromuscular responses during stuttering episodes. Fifty-five participants with stuttering and 30 individuals without stuttering, aged between 18 and 40, participated in the study. EMG signals from five facial and cervical muscles were recorded during speech tasks and analyzed for mean amplitude and frequency activity in the 5–15 Hz range to identify significant differences. Upon analysis of the 5–15 Hz frequency range, a higher average amplitude was observed in the zygomaticus major muscle for participants while stuttering (p < 0.05). Additionally, when assessing the overall EMG signal amplitude, a higher average amplitude was observed in samples obtained from disfluencies in participants who did not stutter, particularly in the depressor anguli oris muscle (p < 0.05). Significant differences in muscle activity were observed between the two groups, particularly in the depressor anguli oris and zygomaticus major muscles. These results suggest that the underlying neuromuscular mechanisms of stuttering might involve subtle aspects of timing and coordination in muscle activation. Therefore, these findings may contribute to the field of biosensors by providing valuable perspectives on neuromuscular mechanisms and the relevance of electromyography in stuttering research. Further research in this area has the potential to advance the development of biosensor technology for language-related applications and therapeutic interventions in stuttering.

中文翻译：

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识别口吃言语不流畅时收缩最多的肌肉的生物力学反应

口吃是一种复杂的言语障碍，影响着全球约 1% 的人口，严重影响个人的生活质量。先前使用肌电图（EMG）检查口吃时口面部肌肉活动的研究得出了不同的结果，强调了口吃发作期间神经肌肉反应的可变性。年龄在 18 岁至 40 岁之间的 55 名口吃参与者和 30 名没有口吃的参与者参与了这项研究。在言语任务期间记录来自五块面部和颈部肌肉的肌电图信号，并分析 5-15 Hz 范围内的平均振幅和频率活动，以识别显着差异。对 5-15 Hz 频率范围进行分析后，观察到口吃时参与者的颧大肌平均振幅较高（p < 0.05）。此外，在评估整体肌电图信号幅度时，在从不口吃的参与者的不流畅中获得的样本中观察到较高的平均幅度，特别是在降口角肌中（p < 0.05）。两组之间的肌肉活动存在显着差异，特别是降口角肌和颧大肌。这些结果表明，口吃的潜在神经肌肉机制可能涉及肌肉激活的时间和协调的微妙方面。因此，这些发现可能为生物传感器领域做出贡献，为神经肌肉机制和肌电图在口吃研究中的相关性提供有价值的观点。该领域的进一步研究有可能推动生物传感器技术的发展，用于语言相关应用和口吃治疗干预。